Databricks

4 months ago

Manager, Forward Deployed Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead a high-performing team of Resident Solutions Architects and AI Engineers in NSW to architect and deliver mission-critical data, AI, and GenAI programs for ASX100 enterprises. Drive delivery excellence, governance, and stakeholder engagement across the ANZ Professional Services portfolio while growing talent and ensuring measurable business impact.

Location: Sydney

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead and scale a team of Resident Solutions Architects and AI Engineers, delivering data migrations, AI/ML platforms, and analytics for enterprise accounts
•Own high-stakes enterprise engagements by partnering with Account Executives, Engagement Managers, and Field Engineering leaders to deliver transformational Professional Services programs
•Establish and enforce delivery governance, risk management, and quality standards to support a growing RSA & AI Engineering practice
•Act as an executive escalation point for critical customer situations, protecting strategic relationships and driving resolution
•Mentor and develop technical talent through structured career pathways, coaching, and a culture of innovation and continuous growth

Key Requirements

•4+ years of people leadership experience managing technical delivery teams, solution architects, or professional services organizations
•5+ years hands-on experience as a technical solutions architect or data/AI engineer
•Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments
•Strong executive presence and stakeholder management with experience influencing at the C-suite level
•Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data/AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued

Experience:4+ yearsFinanceHealthcareRetailTelecomEnergy

Skills:LeadershipStakeholder managementCommunicationCoachingProblem-solving

Languages:English

Tech Stack:DatabricksApache SparkMLflowDelta LakeGenAIMLOps

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

4 months ago

Manager, Forward Deployed Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Sydney

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead and scale a team of Resident Solutions Architects and AI Engineers, delivering data migrations, AI/ML platforms, and analytics for enterprise accounts
•Own high-stakes enterprise engagements by partnering with Account Executives, Engagement Managers, and Field Engineering leaders to deliver transformational Professional Services programs
•Establish and enforce delivery governance, risk management, and quality standards to support a growing RSA & AI Engineering practice
•Act as an executive escalation point for critical customer situations, protecting strategic relationships and driving resolution
•Mentor and develop technical talent through structured career pathways, coaching, and a culture of innovation and continuous growth

Key Requirements

•4+ years of people leadership experience managing technical delivery teams, solution architects, or professional services organizations
•5+ years hands-on experience as a technical solutions architect or data/AI engineer
•Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments
•Strong executive presence and stakeholder management with experience influencing at the C-suite level
•Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data/AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued

Experience:4+ yearsFinanceHealthcareRetailTelecomEnergy

Skills:LeadershipStakeholder managementCommunicationCoachingProblem-solving

Languages:English

Tech Stack:DatabricksApache SparkMLflowDelta LakeGenAIMLOps

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn